The analysis of sentiment in text has mainly been focused on the English language. The
complexity of the Arabic language and its linguistic features that oppose those found in …

Although big data analytics have been widely considered a key driver of marketing and
innovation processes, whether and how big data analytics create business value has not …

Social media data are increasingly perceived as alternative sources to public attitude
surveys because of the volume of available data that are time-stamped and (sometimes) …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Social media such as forums, blogs and microblogs has been increasingly used for public
information sharing and opinions exchange nowadays. It has changed the way how online …

This study explores if there is a convergence between the concepts of fashion and eco-
friendliness in consumer perception of a fashion brand. We assume that increased eco …

CONTEXT The agri-food system is undergoing pervasive changes in business models,
facilitated by the use of digital technologies. Although today it is almost inevitable for any …

In this paper we present deep-learning models that submitted to the SemEval-2018 Task~ 1
competition:" Affect in Tweets". We participated in all subtasks for English tweets. We …

Public health thrives on high-quality evidence, yet acquiring meaningful data on a
population remains a central challenge of public health research and practice. Social …

Millions of tweets are generated each day on multifarious issues. Topical diversity in content
demands domain-independent solutions for analysing twitter sentiments. Scalability is …